Multi-Omics Profiling for Health

Area of Science:

• Biomedical Science
• Genomics
• Personalized Medicine

Background:

• Rising chronic disease burden necessitates innovative healthcare strategies.
• Current reactive medical care is costly and often ineffective due to a "one-size-fits-all" approach.
• Individual variability in genetics, environment, and lifestyle impacts health outcomes.

Purpose of the Study:

• To review current and emerging multi-omics modalities for precision health.
• To discuss applications of multi-omics in diverse health areas.
• To explore integration with electronic health records and clinical imaging.

Main Methods:

• Multi-omics deep phenotyping profiling biological interactions over time.
• Computational analysis of integrated multi-level biological data.
• Review of existing literature and emerging trends in multi-omics research.

Main Results:

• Multi-omics enables a precision health approach tailored to individual differences.
• Applications span genetic variation, cardio-metabolic diseases, cancer, and more.
• Potential to disentangle complex host-microbe and host-environmental interactions.

Conclusions:

• Multi-omics technologies are pivotal for advancing precision health.
• Integration with clinical data holds significant promise for personalized interventions.
• Addressing implementation challenges is key to realizing the future potential of multi-omics.